Modern network science has revealed fundamental aspects of normal brain-network
organization, such as small-world and scale-free patterns, hierarchical modularity, hubs and …

The pathology of Alzheimer disease (AD) damages structural and functional brain networks,
resulting in cognitive impairment. The results of recent connectomics studies have now …

Electroencephalogram (EEG) and magnetoencephalogram (MEG) recordings during resting
state are increasingly used to study functional connectivity and network topology. Moreover …

The brain is increasingly studied with graph theoretical approaches, which can be used to
characterize network topology. However, studies on brain networks have reported …

Here we critically review studies that used electroencephalography (EEG) or event-related
potential (ERP) indices as a biomarker of Alzheimer's disease. In the first part we overview …

Objective. Graph theory and network science tools have revealed fundamental mechanisms
of functional brain organization in resting-state M/EEG analysis. Nevertheless, it is still not …

Graph theory analysis, a mathematical approach, has been applied in brain connectivity
studies to explore the organization of network patterns. The computation of graph theory …

Brain connectivity can be estimated through many analyses applied to
electroencephalography (EEG) data. However, substantial heterogeneity in the …

Objective To assess the relevance of quantitative EEG (qEEG) measures as outcomes of
disease severity and progression in Parkinson disease (PD). Methods Main databases were …

The prenatal period is increasingly considered as a crucial target for the primary prevention
of neurodevelopmental and psychiatric disorders. Understanding their pathophysiological …